Enabling and Inhibitory Pathways of Students' AI Use Concealment Intention in Higher Education: Evidence from SEM and fsQCA
This study investigates students' AI use concealment intention in higher education by integrating the cognition-affect-conation (CAC) framework with a dual-method approach combining structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Drawing on data from 1346 university students, the findings reveal two opposing mechanisms shaping concealment intention. The enabling pathway shows that perceived stigma, perceived risk, and perceived policy uncertainty incre
Record details
Published: 13 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Children & education · Finance, VC & PE
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (13 April 2026), “Enabling and Inhibitory Pathways of Students' AI Use Concealment Intention in Higher Education: Evidence from SEM and fsQCA,” evidence record 5969, https://ethics.ai/record/5969 (originally published by arXiv).
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